62_other_multivariate_probabilities: Multivariate Probabilities
In probhat: Multivariate Generalized Kernel Smoothing and Related Statistical Methods

Description Usage Arguments Details Value References See Also Examples

Compute probabilities, from multivariate CDFs.

THIS FUNCTION IS DEPRECATED, BUT YOU STILL MAY USE.
THE pwith FUNCTION IS PREFERABLE FOR NONCONDITIONAL CKS MODELS

1	probmv (sf, a, b)

`sf`	A cdfmv.cks or cdfmvc.cks object. (Lower tail only).
`a, b`	Numeric vectors (or matrices) of lower and upper limits, corresponding to each variable. If they're matrices, then each row defines the limits for one region and each column defines the limits for one variable.

Refer to the vignette for more information.

A single numeric value (if a and b are both standard vectors) and a numeric vector (if either a or b are matrices).

Refer to the vignette for an overview, references and better examples.

cdfmv.cks, cdfmvc.cks

ph.mean
moment

rng

quartiles, ntiles, ph.median, ph.quantile
ph.mode, ph.modes\

prep.ph.data ()

cFh3 <- cdfmv.cks (trees2)

xlim <- matrix (c (
    22, 24,    #height in 22 to 24
    28, 38,    #girth  in 28 to 38
    0.55, 1.05 #volume in 0.55 to 1.05
    ),, 2, byrow=TRUE, dimnames = list (colnames (trees), c ("a", "b") ) )

probmv (cFh3, xlim [,1], xlim [,2])